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IoTScal‐H : Hybrid monitoring solution based on cloud computing for autonomic middleware‐level scalability management within IoT systems and different SLA traffic requirements
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9781119974031.ch4openalex-snapshot
M2M Requirements and High‐Level Architectural Principles
inferredcites →https://doi.org/10.1007/3-540-29397-3_3openalex-snapshot
General RMS Characteristics. Comparison with Dedicated and Flexible Systems
inferredcites →https://doi.org/10.1007/978-3-319-64719-7_24openalex-snapshot
A New Monitoring Approach with Cloud Computing for Autonomic Middleware-Level Scalability Management Within IoT Systems
inferredcites →https://doi.org/10.1007/978-981-13-1405-6_11openalex-snapshot
An Enhancement for the Autonomic Middleware-Level Scalability Management Within IoT System Using Cloud Computing
inferredcites →https://doi.org/10.1016/j.cirp.2013.05.002openalex-snapshot
Scalability in manufacturing systems design and operation: State-of-the-art and future developments roadmap
inferredcites →https://doi.org/10.1016/j.comcom.2014.09.008openalex-snapshot
The Internet of Things vision: Key features, applications and open issues
inferredcites →https://doi.org/10.1016/j.comnet.2014.06.007openalex-snapshot
Cloud Computing for Smart Grid applications
inferredcites →https://doi.org/10.1016/j.epsr.2014.05.006openalex-snapshot
Paving the road toward Smart Grids through large-scale advanced metering infrastructures
inferredcites →https://doi.org/10.1016/j.future.2011.04.022openalex-snapshot
An autonomic cloud environment for hosting ECG data analysis services
inferredcites →https://doi.org/10.1016/j.jpdc.2018.07.003openalex-snapshot
FOCAN: A Fog-supported smart city network architecture for management of applications in the Internet of Everything environments
inferredcites →https://doi.org/10.1016/j.procs.2014.05.536openalex-snapshot
OM2M: Extensible ETSI-compliant M2M Service Platform with Self-configuration Capability
inferredcites →https://doi.org/10.1016/s0007-8506(07)61516-9openalex-snapshot
Design Principles for Machining System Configurations
inferredcites →https://doi.org/10.1109/3pgcic.2013.46openalex-snapshot
Towards a Scalable Multi-agent Architecture for Managing IoT Data
inferredcites →https://doi.org/10.1109/access.2017.2702013openalex-snapshot
Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study
inferredcites →https://doi.org/10.1109/aiccsa.2015.7507202openalex-snapshot
Monitoring solution for autonomic Middleware-level QoS management within IoT systems
inferredcites →https://doi.org/10.1109/cloud.2013.64openalex-snapshot
Efficient and Scalable IoT Service Delivery on Cloud
inferredcites →https://doi.org/10.1109/compsacw.2014.53openalex-snapshot
m-cloud -- Distributed Statistical Computation Using Multiple Cloud Computers
inferredcites →https://doi.org/10.1109/cscwd.2013.6581037openalex-snapshot
CloudThings: A common architecture for integrating the Internet of Things with Cloud Computing
inferredcites →https://doi.org/10.1109/cts.2012.6261020openalex-snapshot
Architecture and measured characteristics of a cloud based internet of things
inferredcites →https://doi.org/10.1109/dest.2011.5936602openalex-snapshot
Is the cloud the answer to scalability of ecologies? Using GAE to enable horizontal scalability
inferredcites →https://doi.org/10.1109/icin.2011.6081099openalex-snapshot
Service oriented network architecture for scalable M2M and sensor network services
inferredcites →https://doi.org/10.1109/iot-nc.2013.6694047openalex-snapshot
Energy efficient and scalable device-to-device discovery protocol with fast discovery
inferredcites →https://doi.org/10.1109/itap.2011.6006307openalex-snapshot
Internet of Things Security Analysis
inferredcites →https://doi.org/10.1109/jiot.2014.2310425openalex-snapshot
Design of a Scalable Hybrid MAC Protocol for Heterogeneous M2M Networks
inferredcites →https://doi.org/10.1109/jiot.2014.2358296openalex-snapshot
A Scalable and Self-Configuring Architecture for Service Discovery in the Internet of Things
inferredcites →https://doi.org/10.1109/scc.2013.68openalex-snapshot
IoT Mashup as a Service: Cloud-Based Mashup Service for the Internet of Things
inferredcites →https://doi.org/10.1109/wcnc.2013.6554572openalex-snapshot
A scalable Hybrid MAC protocol for massive M2M networks
inferredcites →https://doi.org/10.1109/wcncw.2012.6215485openalex-snapshot
Supporting efficient machine-to-machine communications in the future mobile internet
inferredcites →https://doi.org/10.1109/wf-iot.2014.6803109openalex-snapshot
Horizontal M2M platforms boost vertical industry: Effectiveness study for building energy management systems
inferredcites →https://doi.org/10.1109/wf-iot.2014.6803194openalex-snapshot
IoT and cloud convergence: Opportunities and challenges
inferredcites →https://doi.org/10.1109/wf-iot.2014.6803220openalex-snapshot
A scalable distributed architecture towards unifying IoT applications
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/dac.70227openalex-snapshot
Comprehensive Analysis, Modeling, and Optimization of QoS in OneM2M for IoT Applications: Integrating HTTP, MQTT, and CoAP Protocols With Automatic Traffic SLA Management
inferred← citeshttps://doi.org/10.1002/ett.4349openalex-snapshot
Autonomic cloud computing based management and security solutions: State‐of‐the‐art, challenges, and opportunities
inferred← citeshttps://doi.org/10.1007/978-3-031-88653-9_48openalex-snapshot
A Comparative Study of HTTP and MQTT in OneM2M: A QoS Perspective
inferred← citeshttps://doi.org/10.1007/978-3-031-94620-2_12openalex-snapshot
Automated QoS Enhancement in OneM2M: Traffic-Oriented Approach for MQTT and HTTP Based on IoT SLA Variations
inferred← citeshttps://doi.org/10.1007/978-981-97-0763-8_32openalex-snapshot
BMUNPLC: Design of a Bioinspired Model for Improving Usability of New PLC Deployments for IoT Applications
inferred← citeshttps://doi.org/10.1007/s11036-023-02272-xopenalex-snapshot
A Task Offloading Algorithm using Multi-Objective Optimization under Hybrid Mode in Mobile Edge Computing
inferred← citeshttps://doi.org/10.1109/access.2021.3094763openalex-snapshot
A Systematic Review on the Data Interoperability of Application Layer Protocols in Industrial IoT
inferred← citeshttps://doi.org/10.1109/access.2025.3558736openalex-snapshot
Sensing as a Service Reinvented: A Unified and Sustainable Sensing Framework for Smart X Development
inferred← citeshttps://doi.org/10.1109/adacis59737.2023.10424357openalex-snapshot
Adaptation of Loss Recovery Mechanisms for improving Scalability and Quality of Service in IoT Networks
inferred← citeshttps://doi.org/10.1109/ccwc54503.2022.9720750openalex-snapshot
Software Development Models for IoT
inferred← citeshttps://doi.org/10.1109/ficloud66139.2025.00017openalex-snapshot
Integrating Deep Learning Models for QoS Optimization in IoT Using the OneM2M Platform
inferred← citeshttps://doi.org/10.1109/ficloud66139.2025.00023openalex-snapshot
Machine Learning-Driven QoS Optimization for IoT in OneM2M: A Novel Approach for Traffic and Resource Management
inferred← citeshttps://doi.org/10.1109/jsyst.2023.3296988openalex-snapshot
Multiobjective Optimization-Based Task Offloading Combined With Power and Resource Allocation in Mobile Edge Computing
inferred← citeshttps://doi.org/10.1109/niss66502.2025.00016openalex-snapshot
A Machine Learning Approach for DDoS Attack Detection in OneM2M Architecture: Impact on Quality of Service Parameters
inferred← citeshttps://doi.org/10.1186/s13677-020-00215-5openalex-snapshot
Analysis of factors affecting IoT-based smart hospital design
inferred← citeshttps://doi.org/10.14569/ijacsa.2024.0150530openalex-snapshot
Design and Implementation of an Information Management System for College Students in Higher Education Institutions Based on Cloud Computing
inferred← citeshttps://doi.org/10.3390/engproc2025112019openalex-snapshot
Cost and QoS Analysis in IoT: An Optimization Approach Based on the OneM2M Standard
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